Triple
T7303778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hakan Şükür |
E167922
|
entity |
| Predicate | goalTimeRecord |
P76101
|
FINISHED |
| Object | fastest World Cup goal scored in approximately 11 seconds |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: fastest World Cup goal scored in approximately 11 seconds | Statement: [Hakan Şükür, goalTimeRecord, fastest World Cup goal scored in approximately 11 seconds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goalTimeRecord Context triple: [Hakan Şükür, goalTimeRecord, fastest World Cup goal scored in approximately 11 seconds]
-
A.
stakesRecordTime
Indicates that an entity records or logs the specific time at which a staking action occurs.
-
B.
goalNumber
Indicates that an entity is associated with a specific target or objective quantified as a number.
-
C.
goalHorizon
Indicates the temporal or planning horizon within which a goal is intended to be pursued or achieved.
-
D.
hourRecordDistance
Indicates that one entity holds or represents the record for the greatest distance covered within a one-hour time period relative to another entity or context.
-
E.
raceRecord
Indicates that there exists a recorded result or performance entry for an entity participating in a race or competitive event.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c6888c820881909fc68f689fe1c251 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebb352ec8190846eff044e08805e |
completed | March 27, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69c6e76e67d88190bd3ca6864f45845a |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6eb2d4c0c8190b4cc6fdfdb7f4827 |
completed | March 27, 2026, 8:40 p.m. |
Created at: March 27, 2026, 3:01 p.m.